advanced-computing/course-materials
Jan 2026 – Feb 2026
2 Months active
Languages Used
MarkdownN/ANoneUnknownpythonCSV
Technical Skills
Data EntryDatabase ManagementGitJupyterN/APython
JocelynJIANG-12
PROFILE
Jocelynjiang-12
Chenyi Jiang contributed to the advanced-computing/course-materials repository by developing and enhancing course profile features, including an introductory Jupyter notebook and Markdown content with visual assets to support learner engagement and personal branding. Using Python and Git, Chenyi enriched the analytics dataset by updating CSV files for improved participant tracking and analytics completeness. The work included repository maintenance, such as removing duplicate notebooks, renaming files for clarity, and cleaning up unused assets, which improved codebase maintainability. Throughout, Chenyi demonstrated careful data management and clear version-control practices, ensuring traceable, high-quality updates that support both content delivery and long-term repository hygiene.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
3
Lines of code
127
Activity Months2
Your Network
139 peopleSame Organization
@columbia.edu92
Shared Repositories
47
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) delivered a key data update for the Course Materials repository. The People.csv file was updated to reflect new entries and modifications, with changes committed as deead1d36bb209e8ac916282ac0414a1a7fd62d7 ('Update people.csv'). This data refresh underpins accurate participant tracking, enrollment status, and downstream materials generation.
1 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) delivered a key data update for the Course Materials repository. The People.csv file was updated to reflect new entries and modifications, with changes committed as deead1d36bb209e8ac916282ac0414a1a7fd62d7 ('Update people.csv'). This data refresh underpins accurate participant tracking, enrollment status, and downstream materials generation.
February 2026
January 2026
11 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) performance highlights for advanced-computing/course-materials. Delivered the Chenyi Jiang course profile with an introductory notebook, Markdown content, and visual imagery to boost personal branding and learner engagement within the course materials. Enriched the analytics dataset by adding Chenyi’s data row, improving the completeness and display quality of analytics. Performed repository cleanup by removing a duplicate notebook, renaming a Markdown file for clarity, and deleting unused image assets, resulting in a cleaner, more maintainable codebase. These efforts advance learner engagement, data-driven analytics, and long-term maintainability while showcasing strong version-control discipline and collaboration.
January 2026
11 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) performance highlights for advanced-computing/course-materials. Delivered the Chenyi Jiang course profile with an introductory notebook, Markdown content, and visual imagery to boost personal branding and learner engagement within the course materials. Enriched the analytics dataset by adding Chenyi’s data row, improving the completeness and display quality of analytics. Performed repository cleanup by removing a duplicate notebook, renaming a Markdown file for clarity, and deleting unused image assets, resulting in a cleaner, more maintainable codebase. These efforts advance learner engagement, data-driven analytics, and long-term maintainability while showcasing strong version-control discipline and collaboration.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownN/ANoneUnknownpython
Technical Skills
Data EntryDatabase ManagementGitJupyterN/APythoncontent creationcontent managementdata managementdata sciencedocumentationfile handlingfile managementgitpython
Repositories Contributed To
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